In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with slowly increasing frequency, allows for the acquisition of respiratory-related HRV-data covering the frequency range in which adults breathe in different everyday situations. We discuss how the use of a time-frequency representation, e.g. the spectrogram or the Wigner-Ville distribution, should be preferred to the traditional use of the periodogram, due to the non-stationarity of the data. We argue that this approach can highlight the correlation of spectral measures such as low-frequency and high-frequency HRV with relevant factors as age, gender and Body-Mass-Index, thanks to the improved quality of the spectral measures.
|Status||Publicerad - 2018-okt.|
|Evenemang||40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, USA|
Varaktighet: 2018-juli-18 → 2018-juli-21
|Konferens||40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018|
|Period||18-07-18 → 18-07-21|
- Annan hälsovetenskap (30399)